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A microscopic competition model and its dynamics analysis on network attacks

journal contribution
posted on 06.12.2017, 00:00 authored by Yang XiangYang Xiang, Daxin TianDaxin Tian, W Zhou
Modeling network traffic has been a critical task in the development of Internet. Attacks and defense are prevalent in the current Internet. Traditional network models such as Poisson-related models do not consider the competition behaviors between the attack and defense parties. In this paper, we present a microscopic competition model to analyze the dynamics among the nodes, benign or malicious, connected to a router, which compete for the bandwidth. The dynamics analysis demonstrates that the model can well describe the competition behavior among normal users and attackers. Based on this model, an anomaly attack detection method is presented. The method is based on the adaptive resonance theory, which is used to learn the model by normal traffic data. The evaluation shows that it can effectively detect the network attacks.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

22

Issue

4

Start Page

503

End Page

517

Number of Pages

15

eISSN

1532-0626

ISSN

1532-0626

Location

Chichester, UK

Publisher

John Wiley and Sons

Language

en-aus

Peer Reviewed

Yes

Open Access

No

Acceptance Date

17/07/2009

Era Eligible

Yes

Journal

Concurrency and Computation: Practice and Experience